Читать книгу Handbook of Intelligent Computing and Optimization for Sustainable Development - Группа авторов - Страница 31

The advantages of the study are multifold. First, it helps academicians and industry professionals to understand a novel process of mental workload prediction and analysis. Second, it contributes in the application of deep learning in mental work load prediction. Third, based on the authors’ knowledge, this is first which provides an application of deep learning in prediction of mental workload during code debugging. The disadvantage of the study can be attributed to the use of small data set for the prediction of mental workload.